Product Analyst
Bangalore, KA, IN
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About the Team:
At Swiss Re, we don’t just respond to disasters — we redefine how the world recovers from them. The Rapid Damage Assessment (RDA) team is at the heart of this mission, delivering real-time insights and data-driven decisions that help clients across the globe respond faster and smarter to catastrophic events.
Whether it’s a hurricane in the U.S., a flood in Europe, or an earthquake in Asia, the RDA team supports clients with cutting-edge analytics, automation, and operational intelligence. This is your chance to be part of a high-impact, high-visibility team that’s transforming the future of insurance.
About the Role:
As a Product Analyst, you’ll be the analytical engine behind our rapid response capabilities. You’ll work across data, product, and operations to ensure our tools are fast, accurate, and always improving.
- Data Monitoring & Anomaly Detection:
- Track data consumption across platforms and flag anomalies or spikes.
- Proactively alert teams when usage exceeds thresholds to ensure system stability.
- Process Automation & Optimization:
- Identify manual or inefficient workflows and lead automation efforts using Python, Excel, or lightweight scripts.
- Global Market & Competitor Intelligence:
- Monitor trends and competitor activity in the insurance tech space.
- Share strategic insights with internal stakeholders to inform product direction.
- Product & Operations Analytics:
- Build clean datasets, run analyses, and track KPIs to support model development and operational efficiency.
- Issue Detection & Root Cause Analysis:
- Identify product data issues early, perform RCA, and document findings to support long-term solutions.
- Dashboarding & Real-Time Visibility:
- Create dashboards and real-time views to track product, operations, and business success metrics.
- Self-Service Data Access:
- Use SQL and APIs to independently access and analyze data, reducing reliance on engineering teams.
- Documentation & Knowledge Sharing:
- Maintain SOPs, data dictionaries, and process guides to ensure clarity and consistency across teams.
- Customer Support & Data Onboarding:
- Ensure timely and effective resolution of customer queries.
- Perform quarterly data massaging and onboarding of customer portfolio data to the platform.
About You:
- Bachelor's degree in engineering, Statistics, Economics, or a related field.
- 3+ years of experience in product analytics, business intelligence, or similar data driven roles.
- Proficiency in SQL and Excel for data extraction and analysis; experience with Python or similar scripting languages is a strong plus.
- Familiarity with dashboarding and data visualization tools such as Power BI, Tableau, or Looker.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams.
- Domain knowledge in insurance claims is highly desirable.
Prior experience in Insurtech or fintech environments is a significant advantage
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Keywords:
Reference Code: 134627
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Business Intelligence Data visualization Economics Engineering Excel FinTech KPIs Looker ML models Power BI Python SQL Statistics Tableau
Perks/benefits: Career development Flex hours Team events
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